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ISSN (Print): 1386-2073 ISSN (Online): 1875-5402
Volume 24, Issue 7, 2021
Page: [891 - 892] Pages: 2
DOI: 10.2174/138620732407210504084747
Title:Artificial Intelligence on High Throughput Data for Biomedical Research
Volume: 24 Issue: 7
Author(s): Stanley Liang
Affiliation:
Cite this article as:
Liang Stanley , Artificial Intelligence on High Throughput Data for Biomedical Research, Combinatorial Chemistry & High Throughput Screening 2021; 24 (7) . https://dx.doi.org/10.2174/138620732407210504084747
“Antibodies & Protein Design” section focuses on the utilization of multiple strategies to engineer and optimize antibodies and proteins that serve diverse analytical strategies, such as combinatorial protein design, structure-based design, sequence-based design, and other techniques that incorporate principles of protein-protein interactions, allosteric regulation, and post-translational modifications. Example applications include ...read more
Recently infectious and inflammatory diseases have been a key concern worldwide due to tremendous morbidity and mortality world Wide. Recent, nCOVID-9 pandemic is a good example for the emerging infectious disease outbreak. The world is facing many emerging and re-emerging diseases out breaks at present however, there is huge lack ...read more
Combinatorial chemistry involves the synthesis and analysis of a large number of diverse compounds simultaneously. Traditional methods rely on brute-force experimentation, which can be time-consuming and resource-intensive. Spectral graph theory, a branch of mathematics dealing with the properties of graphs in relation to the eigenvalues and eigenvectors of matrices associated ...read more
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